Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/52527
Title: Optimisasi Pemenuhan Kebutuhan Zat Gizi Makro Menggunakan Algoritme Genetika
Authors: Herdiyeni, Yeni
Dwiriani, Cesilia Meti
Rizkita, Ella
Keywords: food
genetic algorithm
macro nutrients
optimization
Bogor Agricultural University (IPB)
Issue Date: 2011
Abstract: This research proposes a method for optimizing adequacy of macro nutrients needs of human using Genetic Algorithm. This study aims to develop a system that determine the composition of food that fulfill daily nutrients need. Genetic Algorithm method provides solutions to problems that optimal parameter values by searching on the domain of the solution based on the principles of natural evolution. The best accuracy generated by the comparison between a system with a target is 75 populations. The result of the research shows that percentage of average accuracy obtained for energy is 89.64%, for protein is 82.50%, for fat is 71.54%, and for carbohydrate is 89.20%.
URI: http://repository.ipb.ac.id/handle/123456789/52527
Appears in Collections:UT - Computer Science

Files in This Item:
File Description SizeFormat 
Abstract_ G11eri.pdf
  Restricted Access
Abstract294.14 kBAdobe PDFView/Open
G11eri.pdf
  Restricted Access
Full Text2.84 MBAdobe PDFView/Open
BAB I Pendahuluan_ G11eri.pdf
  Restricted Access
BAB I299.86 kBAdobe PDFView/Open
BAB II Tinjauan Pustaka_ G11eri.pdf
  Restricted Access
BAB II557.85 kBAdobe PDFView/Open
BAB III Metode Penelitian_ G11eri.pdf
  Restricted Access
BAB III680.13 kBAdobe PDFView/Open
BAB IV Hasil dan Pembahasan_ G11eri.pdf
  Restricted Access
BAB IV368.35 kBAdobe PDFView/Open
BAB V Kesimpulan_ G11eri.pdf
  Restricted Access
BAB V313.1 kBAdobe PDFView/Open
Cover_ G11eri.pdf
  Restricted Access
Cover294.6 kBAdobe PDFView/Open
Lampiran_ G11eri.pdf
  Restricted Access
Lampiran2.4 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.